VVZ API is not affiliated with ETH Zurich. Data might be outdated or incorrect. Please view the official ETHZ Vorlesungsverzeichnis for binding information.
Genetic Diversity: Analysis
Last Updated: 2026-02-05 16:21:51
Abstract
The course will provide hands-on training for advanced students (e.g. master, doctoral or post-doctoral level) in genomic data handling and analysis. The focus is on high-throughput nucleotide sequencing applications and data analysis with a strong emphasis on reproducibility and report writing.
Objective
The learning target is to understand the analysis of high-throughput molecular sequence data. We cover the fundamentals of bio-computing, and reproducibility is an integral part of the course. Exercises will help to better understand the theory. It is, however, not a copy-paste course, but a more applied data analysis with discussion.
Content
The Genetic Diversity Centre (GDC) has offered this lecture for over ten years. Last year’s lecture ( https://www.gdc-docs.ethz.ch/GeneticDiversityAnalysis/GDA21/site/ ) summarizes the content. We try to keep up to date and for this reason slight adaptations may occur.
Resources
Lecture Notes
Teaching materials and exercises will be available on the course website in due course (https://www.gdc-docs.ethz.ch/GeneticDiversityAnalysis/GDA/site/)
Literature
We will provide links to scientific literature and textbooks.
Learning Materials (Links)
- Additional links
- Course web Page
General Information
- Language
- English
- Levels
- DR , MSC
- Frequency
- Yearly recurring
Examination
- Type
- ungraded semester performance
Registration & Places
- Max Places
- 12
Course Components
| Type | Title | Time & Place | Hours |
|---|---|---|---|
| lecture with exercise |
Genetic Diversity: Analysis
2 weeks block course
|
|
35 h semesterly |
Offered In
-
-
-
Doctorate Environmental Sciences (More Information at: )
-